Public blockchains' radical transparency bootstrapped early DeFi trust but now creates execution risks and security threats ...

AI language models, used to generate human-like text to power chatbots and create content, are also revolutionizing biology ...

In his landmark 1949 paper, Claude Shannon showed how simple statistical models called Markov chains could reproduce the structure of human language. By modeling how letters and words depend on one ...

Anthropic insists on limits on how its technology is used and could be labeled a supply chain risk if it fails to accept the military’s demands. By Julian E. Barnes and Sheera Frenkel Julian E. Barnes ...

Abstract: The Influence Model (IM) is a compact yet powerful framework for modeling state evolution in multi-agent stochastic networks. It has found wide applications in domains such as power systems, ...

A Markov model was constructed to compare CMT versus RT alone for patients with early-stage ENKTCL, according to five risk groups defined by NRI model. Transition probabilities, effectiveness, and ...

Dementia, one of the most prevalent neurodegenerative diseases, affects millions worldwide. Understanding linguistic markers of dementia is crucial for elucidating how cognitive decline manifests in ...

Introduction: Understanding postoperative hemodynamic progression following cardiac surgery is critical for effectively managing patient outcomes. Traditional methods inadequately characterize ...

Discretized Markov chains (binary/tri-state) with k-order transitions Hidden Markov Model (HMM) regimes (probabilities, transitions, persistence) Strategy backtests (Long/Neutral, Long/Short) vs Buy & ...

Everybody is about algorithmic processes and feed manipulation, but is that really new? What if the algorithm powering your Google search results and the predictive text on your phone originated from ...